But what’s more important than free software is these are the same tools Google’s been using for a while. And according to The Verge – since 2015 these tools have been available in open-source. Hmm… 2015 was when Martin Ford releases his book – Rise of the Robots!

Let’s get down to business…

Understanding Machine Learning

#1 – Why you should take this TensorFlow learning opportunity serious.

Keynote (TensorFlow Dev Summit 2017)

Is this opportunity for you?

Well, that depends on whether you’re a hustler.

What I mean is will you take action and get going or will you keep analyzing and reviewing for 10 more days, or 10 more months, before you finally make up your mind to give it a try!

Look:

I’ve been around Tech for decades, and I’ve watched what happens during the software development lifecycle.

Do you know most developers exist spending 8 – 10 hours a day writing pieces of code alone in a 6’ x 6’ cubicle? There’s no romance in that…

And I’ll be 100% honest with you; I’m not going to try to convince anyone to take action if they’re not ready.

Yup, from here forward I’m only talking to those readers ready to take immediate action and do something productive with this information.

Now:

In a minute I’ll share the link to where you can download TensorFlow, read the documentation, watch tutorials, etc.

And for the Docker crowd, I’m also going to share the link so you can pull down a Docker version of TensorFlow to run it in containers.

Then you’ll get a link to where you can get your first lessons on developing with TensorFlow. That’s correct; I’ll share where you can get online TesnorFlow training.

If you’re hungry for excitement and want an exciting career, follow me to takeaway #2 because we’re about to get real serious about AI…

#2 – Everyday deep learning example where algorithms are used.

Google Translate – If my understanding is correct, TensorFlow was used to create the algorithms that can read and translate languages on Google Translate.

Google Maps – And deep learning image recognition can scan a photo of a landmark like the Statue of Liberty and then using Google Maps give you the GPS coordinates.

Now that’s powerful coding!

I never connected these dots before, but if you look around there are more examples of deep learning frameworks all around us: face recognition at airports, traffic management in your city, and crunching data for elections…

My ears are ringing from imagining all the cool services yet to be created that will use TensorFlow coupled with other machine learning tools.

Hang on because in takeaway #3 you’re going to see why you don’t want to wait another day to start developing your coding skills with deep learning framework, the tools are available now for you to dive right in and be at the forefront of AI technology advances.

Watch this machine learning tutorial…

Deep Learning Tutorial

Deep learning software is amazing…

I know developing code using deep learning software or coding machine learning algorithms isn’t for everyone, but look – if you’re just beginning your studies as a college student and still unsure what direction to go, or you’re looking for a new career to transition to, then I recommend you think seriously about developing your coding skills using TensorFlow and other similar coding tools.

As a software developer or student, understanding how deep learning frameworks are used should be a key focus for you.

If you’re already going to spend your time and money taking coding classes then shouldn’t you learn skills that move you towards a future career by learning to code algorithms?

And just to be consistent with my views on learning, don’t just settle for the basics, become the best in your class and master multiple deep learning frameworks, so you become indispensable.

#3 – The growing machine learning job market.

Martin Ford opened my mind to the future, but Google is opening opportunities and giving anyone the tools which will put in the time and effort to learn TensorFlow and TensorFlow lite.

Then there is Theano which is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays. I can see how this would be important in an algorithm (Theano home | Theano Docker hub | Theano Github).

The TensorFlow website is full of resources that will help you develop your knowledge and skills; deep learning library, machine learning tutorials, and machine learning basics are only a few topics you’ll find there.

Before you start downloading software or spinning up containers, lets finish takeaway #6 and #7…

#6 – Where to get TensorFlow training?

Alright, now we’ve come to the point where the rubber meets the road and hustlers get down to business.

After I read the Verge article about machine learning, I couldn’t get the idea out of my head about all the opportunities just sitting there waiting for people to develop them.

And now after reading a job listing, what would be more exciting than working for Elon Musk at Tesla Motors and helping innovate autopilot for auto-driving cars, or possibly, SpaceX?

Are you feeling my excitement? Boom, my head exploded again…

I wanted to find out what it takes to learn TensorFlow, so I jumped on Chrome and went to my favorite online learning website, you guessed it – Udemy.

I’m sure there are a lot of places where you can find deep learning framework training, but for me, I prefer Udemy because most of the courses are created by people with hands-on experience vs professional trainers with little or no practical experience.

Amazon has more machine learning books for beginners, but these TensorFlow books seem to be the best books on machine learning with the most active reviews.

Go ahead and take a few minutes to review all the deep learning software books available…

Turning The Takeaways Into An Action Plan

In these 7 takeaways we’ve reviewed machine learning to give you a basic understanding of machine learning and why now is a great time to create an action plan for your career as a deep learning framework developer, specifically focusing on Google TensorFlow tools.

If you still lack motivation, go ahead and take another look at the huge opportunity I posted above for an “Autopilot Internship” with Tesla Motors.

Then we identified who should be excited about deep learning framework opportunities: Students, Software Developers, and DevOps Engineers. And why now is the perfect time to take action and ramp-up your Dev skills while the AI job market is trending upwards.

And finally for beginners, we reviewed open source machine learning tools that are available for immediate download, as-well-as several TensorFlow training courses, and then we wrapped up with the best books on machine learning.

Now it’s up to you to take this guide and create your action plan, especially if you’re stuck in a career rut…

What’s Next for Google TensorFlow?

I have a feeling we’ve only seen the beginning of Google TensorFlow and the cool stuff is yet to come that will soon emerge on Android and across every technology that uses deep learning…Maybe someone who reads this TensorFlow for beginner’s guide will create the next big AI app?

That’s right:

We can all wait and see what deep learning algorithms Google, Tesla, Facebook and Amazon come up with, or we can decide to join the journey.

Now do it!

Take action now and start learning TensorFlow tools.

Please share this guide and don’t forget to bookmark this page so you can read it again later…Thanks!